Article

Linking spatial omics to patient phenotypes at the population scale by BSNMani: Bayesian scalar-on-network regression with manifold learning

2025-08-12

Abstract excerpt

Spatial omics enables the integration of high-dimensional molecular organization with clinical outcomes, yet incorporating spatial single-cell information into predictive models at the population scale remains challenging. Here, we adapted BSNMani, Bayesian scalar-on-network regression with manifold learning, to integrate subject-specific, spatially informed co-expression networks into clinical prediction. The ben...

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Literature Corpus work: 16e2fff7-5fb3-5424-88bd-ceadd9f90375
DOI: 10.1101/2025.08.09.25333297

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